2018: FORGOTTEN BASICS
In the Future Internet users will define information globally. Here we demonstrate an application:
NumericSearch allows high re­so­lu­tion search in user de­fi­ned numeric Domain Spaces (DSs). This version is designed for demonstration purposes, the user generated DSs are stored in a local database.

Click in the column below i7 on a index
to search in a DS with count of resources r>0,
e.g. click on 1005 or 1006

Motivation: For descrip­tion of reality usually words of language are used, but they catego­rize the original quantitative features of reality. Depending on the domain of interest, specific features can be selec­ted and represen­ted more precisely by vectors ("Domain Vectors" = DVs) in "Domain Spaces" (DSs). DSs represent domain specific metric spaces. Every DS is unambi­guously identified by an identifier which in a web standard can be the URL of the DS definition. The DVs of a DS are accessible to similarity search with optional range restriction.

NumericSearch consists of 2 steps:

1. Selection of the DS directly
or by text search of its DSI (first keyword kw0)
2. Similarity and/or regional search of DVs within this DS.

You can test it and contribute own DVs and also define own DSs. You can track that DV based descrip­tion and search has
much higher resolution and range
than word based description and search.
Therefore it is plausible that DSs and DVs or something equivalent will become standard on the web.